Analysis of Oversampling for Noise Reduction of UV Image

被引：0
作者：
Liu, Fei [1 ,2 ]
Yuan, Yonggang [1 ]
Cai, Nengbin [3 ]
Ye, Baisong [1 ,2 ]
Li, Xiangyang [1 ]
机构：
[1] SITP, State Key Lab Transducer Technol, Shanghai 200083, Peoples R China
[2] Grad Univ, Chinese Acad Sci, Beijing 100039, Peoples R China
[3] Shanghai Key Lab Criminal Scene Evidence, Shanghai 200083, Peoples R China
来源：
6TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: OPTOELECTRONIC MATERIALS AND DEVICES FOR SENSING, IMAGING, AND SOLAR ENERGY | 2012年 / 8419卷
关键词：
Oversampling; improved moving average method; image processing;
D O I：
10.1117/12.975669
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Noise pollution is often introduced during image data acquisition and transmission process. Oversampling technology and algorithm used to improved moving average are applied to reduce noise in UV image project. Both theoretical analysis and Matlab simulations results show that this technology is effective. Considering a virtual signal consisting of Gaussian noise, the new algorithm make the signal's mean square error (MSE) reduces from 0.01 to 0.0038, which are better than traditional algorithm.
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页数：6
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